出海雷达

资深事件经理

Senior Incident Manager

开发工程限定地区(需当地身份)
公司Lambda
薪资未公开
工作地点USA
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Full-Time
发布时间9 天前
数据来源Jobicy
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注意地域限制:该职位明确限定在 USA 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

兰布达,超级智能云是 AI 云基础设施的领导者,服务于数万客户。我们的客户范围从 AI 研究人员到企业和高规模化公司。兰布达的使命是使计算像电力一样无处不在并为每个人都提供超级智能的力量。一个人,一个 GPU.如果你想构建世界上最好的 AI 云,加入我们。我们正在寻找一名高级事件经理来领导我们的 AI 数据中心基础设施中关键事件响应。该角色负责协调快速解决影响服务事件,提高运营弹性,并推动基础设施,网络,平台工程和数据中心运营中事故管理最佳实践。角色概述高级事件经理负责领导 AI 基础设施和数据中心服务的影响操作事件的终端生命周期。这个个人作为主要事件期间中央指挥点,确保快速分类,跨团队协调,有效沟通和结构化后事件分析。这一职位需要在高可用性基础设施,大型 GPU 集群,网络和云平台方面深入的操作专业知识以及强大的领导力和沟通技能。你将做什么事件领导 · 负责对影响 AI 基础设施,GPU 集团,网络,存储和数据中心运营的关键 (SEV-1 / SEV-2) 事件的响应。· 在重大停机期间担任事件指挥官,协调工程,网络,设施和供应商团队。· 在事件/事故后提供更新和状态总结时作为领导与外部团队之间的联系人。· 建立明确的事件时间表,分类行动和解决方案。事故管理运营 · 拥有事件响应生命周期包括:· 协助技术三级工作 · 加剧 ·协调 · 解决事件后审查 · 与内部利益相关者和领导层确保及时和准确沟通。· 维护事件响应文档和操作手册。· 对事件进行分析并确定改善反应和系统可靠性模式/趋势。· 在电话旋转中工作以响应,引导和协调事件跨职能协调 · 密切合作与:· 数据中心运营 基础设施工程和运营

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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

We are seeking a Senior Incident Manager to lead critical incident response across our AI data center infrastructure. This role is responsible for coordinating rapid resolution of service-impacting events, improving operational resilience, and driving incident management best practices across infrastructure, networking, platform engineering, and data center operations.

Role Overview

The Senior Incident Manager is responsible for leading the end-to-end lifecycle of operational incidents impacting AI infrastructure and data center services. This individual acts as the central command point during major incidents, ensuring rapid triage, cross-team coordination, effective communication, and structured post-incident analysis.

This role requires deep operational expertise in high-availability infrastructure, large-scale GPU clusters, networking, and cloud platforms, along with strong leadership and communication skills.

What You’ll Do

Incident Leadership

  • Lead the response to critical (SEV-1 / SEV-2) incidents impacting AI infrastructure, GPU clusters, networking, storage, and data center operations.
  • Serve as the Incident Commander during major outages, coordinating engineering, networking, facilities, and vendor teams.
  • Act as the liaison between leadership and external teams during incidents / post-incidents to provide updates and status summaries.
  • Establish clear incident timelines, triage actions, and resolution plans.

Incident Management Operations

  • Own the incident response lifecycle including:
  • Assisting Technical Triage
  • Escalation
  • Coordination
  • Resolution
  • Post-incident review
  • Ensure timely and accurate communication with internal stakeholders and leadership.
  • Maintain incident response documentation and operational playbooks.
  • Conduct analysis on incidents and identify patterns / trends for improvement in response and systems reliability.
  • Work in an On-Call Rotation to respond to, lead, and coordinate incidents

Cross-Functional Coordination

  • Work closely with:
  • Data center operations
  • Infrastructure engineering & operations
  • Network engineering
  • Platform reliability engineering
  • Security operations
  • Hardware and facility vendors
  • Drive alignment during outages involving multiple infrastructure layers.

Post-Incident Analysis & Continuous Improvement

  • Lead post-incident reviews (PIRs) and root cause analysis. Identify systemic reliability gaps and implement corrective actions.
  • Track incident metrics including MTTR, MTTD, and incident recurrence rates.

Operational Excellence

  • Improve incident response processes, escalation paths, and tooling by working with technical support and engineering teams..
  • Contribute to runbooks, operational standards, and reliability frameworks.
  • Support implementation of automation and observability improvements.

Communication & Reporting

  • Provide executive-level incident summaries and reports.
  • Deliver clear, concise updates during active incidents.
  • Maintain incident dashboards and operational health reporting.

You

  • 8+ years experience in incident management, site reliability engineering, or infrastructure operations
  • Experience managing incidents in large-scale distributed infrastructure environments
  • Strong understanding of:
  • Data center operations
  • GPU compute clusters
  • Networking and storage infrastructure
  • Cloud or hybrid infrastructure platforms
  • Proven ability to lead high-pressure incident response situations
  • Experience with incident management frameworks (ITIL, SRE, or equivalent)
  • Excellent communication and stakeholder management skills
  • Experience with incident tracking and monitoring tools such as:
  • PagerDuty
  • ServiceNow
  • Jira
  • Datadog
  • Prometheus / Grafana

Nice to Have

  • Experience operating AI or HPC infrastructure
  • Background in SRE, infrastructure engineering, or data center operations
  • Familiarity with high-density GPU environments (NVIDIA clusters, InfiniBand networks)
  • Experience with hyperscale or colocation data center environments
  • Knowledge of automation and incident response tooling
  • Knowledge of and experience with Incident command system (ICS)
  • Experience in leading and developing incident command from stractch

Key Competencies

  • Incident Command & Leadership
  • Operational Decision Making
  • Cross-Team Coordination
  • Root Cause Analysis
  • Crisis Communication
  • Infrastructure Reliability

What Success Looks Like in This Role

  • Reduced Mean Time to Resolution (MTTR) for critical incidents
  • Improved cross-team incident coordination
  • High-quality post-incident reviews and corrective actions
  • Increased infrastructure reliability and operational maturity

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

  • Founded in 2012, with 500+ employees, and growing fast
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: https://lambda.ai/careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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